Development of a Connected Payload for Sampling and Recording Environmental Information in Wetlands (lakes, rivers, marshes, lagoons, aerated ponds) Installed on a Multi-rotor UAV – version 2

As a Canadian province, we face complex challenges in treating the wastewater generated by our modern society. This wastewater contains organic wastes of human origin, as well as a variety of chemicals that find their way into Quebec's waterways, with negative repercussions for the environment, public health and the economy. Tackling these potential threats is a growing challenge, requiring a meticulous approach by municipal, provincial and federal authorities to minimize damage while seizing opportunities for benefit, and optimizing investments in public networks.

In Quebec, 79% of municipal wastewater treatment plants adopt aerated or non-aerated ponds. Over the years of operation, these ponds accumulate sludge, justifying the implementation of a sludge volume monitoring system to determine the optimum time for emptying. This monitoring includes, among other things, precise measurement of the height of sludge accumulated in the ponds. These measurements, which are crucial in deciding on the need for emptying, the techniques to be considered, and the associated cost estimates, must be carried out in an appropriate and representative manner.

The innovative solution, which integrates drone, artificial intelligence (AI) and Internet of Things (IoT) technologies, for sampling and assessing sludge levels in aerated lagoons at wastewater treatment plants is the new decision-support tool that will enable municipalities to make more informed decisions about their sludge management.